LQG Control for MIMO Systems Over Multiple Erasure Channels With Perfect Acknowledgment

被引:118
作者
Garone, Emanuele [1 ]
Sinopoli, Bruno [2 ]
Goldsmith, Andrea [4 ]
Casavola, Alessandro [3 ]
机构
[1] Univ Libre Bruxelles, Serv Automat & Anal Syst, B-1050 Brussels, Belgium
[2] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
[3] Univ Calabria, Dipartimento Elettron Informat & Sistemist, I-87036 Arcavacata Di Rende, CS, Italy
[4] Stanford Univ, Dept Elect Engn, Pittsburgh, PA 15213 USA
关键词
Cyber-physical systems (CPS); linear quadratic gaussian (LQG); networked control systems (NCS; UNRELIABLE COMMUNICATION;
D O I
10.1109/TAC.2011.2167789
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This technical note concerns control applications over lossy data networks. Sensor data is transmitted to an estimation-control unit over a network and control commands are issued to subsystems over the same network. Sensor and control packets may be randomly lost according to a Bernoulli process. In this context, the discrete-time linear quadratic gaussian (LQG) optimal control problem is considered. In Schenato et al. [1], a complete analysis was carried out for the case that sensor measurements and control inputs are delivered into a single packet to the estimator and to the actuators respectively. Here, a nontrivial generalization for MIMO systems is presented under the assumption that each sensor and each actuator exchange data with the control unit in an independent way by using their own data packet (no aggregation). In such a framework, it is shown that the separation principle still holds in the case where packet arrivals are acknowledged by the receiver. Moreover, the optimal LQG control is a linear function of the state that explicitly depends on the loss probabilities of the actuator channels. Such a dependence is not present in the single channel case considered in mean-square. In the infinite horizon case, stability conditions on the packet arrival probabilities are provided in terms of linear matrix inequalities (LMIs).
引用
收藏
页码:450 / 456
页数:7
相关论文
共 19 条
[1]  
[Anonymous], 2012, Linear Robust Control
[2]  
[Anonymous], 1996, Neuro-dynamic programming
[3]   Control and communication challenges in networked real-time systems [J].
Baillieul, John ;
Antsaklis, Panos J. .
PROCEEDINGS OF THE IEEE, 2007, 95 (01) :9-28
[4]   Remote stabilization over fading channels [J].
Elia, N .
SYSTEMS & CONTROL LETTERS, 2005, 54 (03) :237-249
[5]  
Garone Emanuele, 2010, International Journal of Systems, Control and Communications, V2, P55, DOI 10.1504/IJSCC.2010.031158
[6]  
Garone E., 2009, PROOFS LQG CONTROL M
[7]   Optimal LQG control across packet-dropping links [J].
Gupta, Vijay ;
Hassibi, Babak ;
Murray, Richard M. .
SYSTEMS & CONTROL LETTERS, 2007, 56 (06) :439-446
[8]  
Hadjicostis CN, 2002, IEEE DECIS CONTR P, P1205, DOI 10.1109/CDC.2002.1184678
[9]   A survey of recent results in networked control systems [J].
Hespanha, Joao P. ;
Naghshtabrizi, Payam ;
Xu, Yonggang .
PROCEEDINGS OF THE IEEE, 2007, 95 (01) :138-162
[10]   LQG control of networked control systems with access constraints and delays [J].
Hristu-Varsakelis, D. ;
Zhang, Lei .
INTERNATIONAL JOURNAL OF CONTROL, 2008, 81 (08) :1266-1280